Grokking The Java Interview Volume 2

Welcome to the second volume of "Grokking the Java Interview." This book is a continuation of the first volume, which received an overwhelming response from readers. Based on your feedback and suggestions, we have brought you this new edition, covering more advanced topics. This book is for programmers preparing for Java interviews. This book contains frequently asked questions and their answer/explanations on essential Java topics. You can use this book to quickly revise all essential Java concepts before your interview, both telephonic and face-to-face, and you can also use this book to learn Core Java in depth. This book contains frequently asked Java questions from essential topics like 1. String 2. Abstract class and Interface 3. Inheritance 4. ClassLoaders 5. Enum 6. ArrayList 7. HashMap 8. ConcurrentHashMap 9. Date, Time, and Calendera 10. Equals and HashCode 11. NIO and Socket Programming 12. Web Services 13. Error, Exception, and Troubleshooting 14. Tricky Questions 15. Technical Core Java Questions These questions are a compilation of my best Java interview articles which have been read by millions of Java developers, and it is also my 10 years of experience writing Java articles, tutorials, and interview questions. If you are preparing for Java interviews, I recommend you go through these questions before your telephonic or face-to-face interviews; you will gain confidence and knowledge to answer the question and learn how to drive Java interviews in your favor. This is the most critical tip I can give you as a Java developer. Always remember that your answers drive interviews; these questions will show you how to drive an Interviewer to your stong areas. All the best for the Java interview, and if you have any questions or feedback, you can always contact me on Twitter javinpaul or comment on my blogs, Javarevisited and Java67

Cracking Java Interview is not easy and one of the main reasons for that is Java is very vast. There are a lot of concepts and APIs to master to become a decent Java developer. Many people who are good at general topics like Data Structure and Algorithms, System Design, SQL, and Database fail to crack the Java interview because they don't spend time to learn the Core Java concepts and essential APIs and packages like Java Collection Framework, Multithreading, JVM Internals, JDBC, Design Patterns, and Object-Oriented Programming. This book aims to fill that gap and introduce you to classical Java interview questions from these topics. By going through these questiosn and topic you will not only expand your knowledge but also get ready for your Next Java interview. If you are preparing for Java interviews then I highly recommend you to go through these questions befor your telephonic or face-to-face interviews, you will not only gain confidence and knowelge to answer the question but also learn how to drive Java interview in your favor. This is the single most important tip I can give you as a Java developer. Always, remember, your answers drive interviews, and these questions will show you how to drive Interviewer to your strong areas. All the best for the Java interview and if you have any questions or feedback you can always contact me on twitter javinpaul (http: //twitter.com/javinpaul) or comment on my blogs Javarevisited(http: //javarevisited.blogspot.com) and Java67(http: //java67.c

Java and Spring Developer Interviews are notoriously tough, not because they ask impossible algorithmic questions like Google or Amazon but because of the vast nature of Java API, Frameworks and Libraries. ! It's not enough for you to just know Java and expect that you will be able to clear Java Interviews. In order to pass the Java Interviews, you should also know essential Java frameworks like Spring, Spring Boot, and Hibernate. In my previous book, Grokking the Java Interview, I touched upon essential core Java topics like Collections, Multithreading, and Java Fundamentals and in this book, I have shared common Spring Framework questions from Job interviews. Spring Framework is the most popular and almost a standard framework for developing Java applications, both core java as well as Java web application which runs on servers like Tomcat. Like Java, Spring Framework is also very vast and there are several sub-projects like Containers, Core Spring Concepts like IoC and Dependency Injection, Spring MVC, Spring Boot, Spring Data JPA, Testing, and miscellaneous Spring APIs. This book contains frequently asked questions from essential Spring topics like 1. Container, Dependency, and IOC 2. Spring Bean Lifecycle 3. Aspect-Oriented Programming (AOP) 4. Spring MVC 5. Spring Boot Intro 6. Spring Boot Auto Configuration 7. Spring Boot Starter Dependency 8. Spring Boot Actuator 9. Spring Boot CLI 10. Spring Boot Testing 11. Spring Cloud Questions 12. Spring Data JPA 13. Spring Security These questions are a compilation of my best Spring Boto articles which have been read by millions of Java developers and it is also my 10 years of experience writing Java and Spring articles, tutorials, and interview questions. If you are preparing for Java and Spring Boot interviews then I highly recommend you to go through these Spring Boot and Spring questions before your telephonic or face-to-face interviews, you will not only gain confidence and knowledge to answer the question but also learn how to drive Java interview in your favor. This book is also useful for Java developers who are preparing for the Spring Professional Certification Exam because I have tried to answer most of the questions from the Official Spring Certification Exam guide. This means you can use this as a review study guide for your spring certification preparation as well. All the best for the Java interview and if you have any questions or feedback you can always contact me on Twitter javinpaul or comment on my blogs Javarevisited and Java67

"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors

Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.

This book (also available online at www.designgurus.org) by Design Gurus has helped 60k+ readers to crack their system design interview (SDI). System design questions have become a standard part of the software engineering interview process. These interviews determine your ability to work with complex systems and the position and salary you will be offered by the interviewing company. Unfortunately, SDI is difficult for most engineers, partly because they lack experience developing large-scale systems and partly because SDIs are unstructured in nature. Even engineers who've some experience building such systems aren't comfortable with these interviews, mainly due to the open-ended nature of design problems that don't have a standard answer. This book is a comprehensive guide to master SDIs. It was created by hiring managers who have worked for Google, Facebook, Microsoft, and Amazon. The book contains a carefully chosen set of questions that have been repeatedly asked at top companies. What's inside? This book is divided into two parts. The first part includes a step-by-step guide on how to answer a system design question in an interview, followed by famous system design case studies. The second part of the book includes a glossary of system design concepts. Table of Contents First Part: System Design Interviews: A step-by-step guide. Designing a URL Shortening service like TinyURL. Designing Pastebin. Designing Instagram. Designing Dropbox. Designing Facebook Messenger. Designing Twitter. Designing YouTube or Netflix. Designing Typeahead Suggestion. Designing an API Rate Limiter. Designing Twitter Search. Designing a Web Crawler. Designing Facebook's Newsfeed. Designing Yelp or Nearby Friends. Designing Uber backend. Designing Ticketmaster. Second Part: Key Characteristics of Distributed Systems. Load Balancing. Caching. Data Partitioning. Indexes. Proxies. Redundancy and Replication. SQL vs. NoSQL. CAP Theorem. PACELC Theorem. Consistent Hashing. Long-Polling vs. WebSockets vs. Server-Sent Events. Bloom Filters. Quorum. Leader and Follower. Heartbeat. Checksum. About the Authors Designed Gurus is a platform that offers online courses to help software engineers prepare for coding and system design interviews. Learn more about our courses at www.designgurus.org.

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

"A breakthrough in machine learning would be worth ten Microsofts." -Bill Gates Despite being one of the hottest disciplines in the Tech industry right now, Artificial Intelligence and Machine Learning remain a little elusive to most.The erratic availability of resources online makes it extremely challenging for us to delve deeper into these fields. Especially when gearing up for job interviews, most of us are at a loss due to the unavailability of a complete and uncondensed source of learning. Cracking the Machine Learning Interview Equips you with 225 of the best Machine Learning problems along with their solutions. Requires only a basic knowledge of fundamental mathematical and statistical concepts. Assists in learning the intricacies underlying Machine Learning concepts and algorithms suited to specific problems. Uniquely provides a manifold understanding of both statistical foundations and applied programming models for solving problems. Discusses key points and concrete tips for approaching real life system design problems and imparts the ability to apply them to your day to day work. This book covers all the major topics within Machine Learning which are frequently asked in the Interviews. These include: Supervised and Unsupervised Learning Classification and Regression Decision Trees Ensembles K-Nearest Neighbors Logistic Regression Support Vector Machines Neural Networks Regularization Clustering Dimensionality Reduction Feature Extraction Feature Engineering Model Evaluation Natural Language Processing Real life system design problems Mathematics and Statistics behind the Machine Learning Algorithms Various distributions and statistical tests This book can be used by students and professionals alike. It has been drafted in a way to benefit both, novices as well as individuals with substantial experience in Machine Learning. Following Cracking The Machine Learning Interview diligently would equip you to face any Machine Learning Interview.